Particle swarm optimization: Theory, literature review, and application in airfoil design

Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, Ali Safa Sadiq

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

47 Citations (Scopus)


The Particle Swarm Optimization (PSO) is one of the most well-regarded algorithms in the literature of meta-heuristics. This algorithm mimics the navigation and foraging behaviour of birds in nature. Despite the simple mathematical model, it has been widely used in diverse fields of studies to solve optimization problems. There is a tremendous number of theoretical works on this algorithm too that has led to a large number of variants, improvements, and hybrids. This chapter covers the inspirations, mathematical equations, and the main algorithm of this technique. Its performance is tested and analyzed on a challenging real-world problem in the field of aerospace engineering.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Number of pages18
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


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